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How did online misinformation impact stockouts in the e-commerce supply chain during COVID-19 – A mixed methods study

Shagun Sarraf, Amit Kumar Kushwaha Orcid Logo, Arpan Kumar Kar Orcid Logo, Yogesh Dwivedi Orcid Logo, Mihalis Giannakis Orcid Logo

International Journal of Production Economics, Volume: 267, Start page: 109064

Swansea University Author: Yogesh Dwivedi Orcid Logo

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DOI (Published version): 10.1016/j.ijpe.2023.109064

Abstract

The proliferation of fake news across the internet has become a significant area of concern globally. The COVID-19 pandemic highlights that the propagation of fake news can jeopardize public health and heighten irrational behavior amongst consumers, like panic buying. However, the existing literatur...

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Published in: International Journal of Production Economics
ISSN: 0925-5273 1873-7579
Published: Elsevier BV 2024
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URI: https://cronfa.swan.ac.uk/Record/cronfa64667
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spelling v2 64667 2023-10-06 How did online misinformation impact stockouts in the e-commerce supply chain during COVID-19 – A mixed methods study d154596e71b99ad1285563c8fdd373d7 0000-0002-5547-9990 Yogesh Dwivedi Yogesh Dwivedi true false 2023-10-06 BBU The proliferation of fake news across the internet has become a significant area of concern globally. The COVID-19 pandemic highlights that the propagation of fake news can jeopardize public health and heighten irrational behavior amongst consumers, like panic buying. However, the existing literature has not explored its impact on the supply chain. This study uses reactance and cognitive load theories to examine a model for fake news propagation causing supply chain disruption. Our research employed a computationally intensive big data-driven method across three studies to demonstrate misinformation's impact on supply chain disruption, identify the factors creating this impact, and validate an inferential analysis model to explain this phenomenon. Results highlight the relationship between unverified information sharing (UIS) and perceived threat, perceived scarcity, fear appeal, and information overload with panic buying. The paper dwells more profoundly on fake news disrupting the supply chain. Journal Article International Journal of Production Economics 267 109064 Elsevier BV 0925-5273 1873-7579 Misinformation, Supply chain disruption, Social media analytics, Electronic commerce, Buying behavior 31 1 2024 2024-01-31 10.1016/j.ijpe.2023.109064 http://dx.doi.org/10.1016/j.ijpe.2023.109064 COLLEGE NANME Business COLLEGE CODE BBU Swansea University SU Library paid the OA fee (TA Institutional Deal) The study has received no funding from any external organisation. IIT Delhi has supported the funding for the PhD scholars who have worked on the project. 2023-12-04T16:07:23.4848880 2023-10-06T10:54:48.6715453 Faculty of Humanities and Social Sciences School of Management - Business Management Shagun Sarraf 1 Amit Kumar Kushwaha 0000-0002-5537-1250 2 Arpan Kumar Kar 0000-0003-4186-4887 3 Yogesh Dwivedi 0000-0002-5547-9990 4 Mihalis Giannakis 0000-0001-5590-1891 5 64667__28942__a11b559cfc9d4fcaa247c9a261dc1341.pdf 64667.VOR.pdf 2023-11-06T15:06:00.0857458 Output 5198374 application/pdf Version of Record true © 2023 The Authors. Published by Elsevier B.V. Distributed under the terms of a Creative Commons Attribution 4.0 License (CC BY 4.0). true eng https://creativecommons.org/licenses/by/4.0/
title How did online misinformation impact stockouts in the e-commerce supply chain during COVID-19 – A mixed methods study
spellingShingle How did online misinformation impact stockouts in the e-commerce supply chain during COVID-19 – A mixed methods study
Yogesh Dwivedi
title_short How did online misinformation impact stockouts in the e-commerce supply chain during COVID-19 – A mixed methods study
title_full How did online misinformation impact stockouts in the e-commerce supply chain during COVID-19 – A mixed methods study
title_fullStr How did online misinformation impact stockouts in the e-commerce supply chain during COVID-19 – A mixed methods study
title_full_unstemmed How did online misinformation impact stockouts in the e-commerce supply chain during COVID-19 – A mixed methods study
title_sort How did online misinformation impact stockouts in the e-commerce supply chain during COVID-19 – A mixed methods study
author_id_str_mv d154596e71b99ad1285563c8fdd373d7
author_id_fullname_str_mv d154596e71b99ad1285563c8fdd373d7_***_Yogesh Dwivedi
author Yogesh Dwivedi
author2 Shagun Sarraf
Amit Kumar Kushwaha
Arpan Kumar Kar
Yogesh Dwivedi
Mihalis Giannakis
format Journal article
container_title International Journal of Production Economics
container_volume 267
container_start_page 109064
publishDate 2024
institution Swansea University
issn 0925-5273
1873-7579
doi_str_mv 10.1016/j.ijpe.2023.109064
publisher Elsevier BV
college_str Faculty of Humanities and Social Sciences
hierarchytype
hierarchy_top_id facultyofhumanitiesandsocialsciences
hierarchy_top_title Faculty of Humanities and Social Sciences
hierarchy_parent_id facultyofhumanitiesandsocialsciences
hierarchy_parent_title Faculty of Humanities and Social Sciences
department_str School of Management - Business Management{{{_:::_}}}Faculty of Humanities and Social Sciences{{{_:::_}}}School of Management - Business Management
url http://dx.doi.org/10.1016/j.ijpe.2023.109064
document_store_str 1
active_str 0
description The proliferation of fake news across the internet has become a significant area of concern globally. The COVID-19 pandemic highlights that the propagation of fake news can jeopardize public health and heighten irrational behavior amongst consumers, like panic buying. However, the existing literature has not explored its impact on the supply chain. This study uses reactance and cognitive load theories to examine a model for fake news propagation causing supply chain disruption. Our research employed a computationally intensive big data-driven method across three studies to demonstrate misinformation's impact on supply chain disruption, identify the factors creating this impact, and validate an inferential analysis model to explain this phenomenon. Results highlight the relationship between unverified information sharing (UIS) and perceived threat, perceived scarcity, fear appeal, and information overload with panic buying. The paper dwells more profoundly on fake news disrupting the supply chain.
published_date 2024-01-31T16:07:24Z
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score 11.036706

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